Calculate OxCGRT sub-index scores for all indicators

calculate_subindices(
  df,
  indicator_code = "policy_type_code",
  value = "policyvalue_actual",
  flag_value = "flagged",
  add = TRUE
)

Arguments

df	A data.frame containing per indicator values required for calculating sub-index scores. This data.frame will be structured similarly as the policy actions data.frame produced by a call to `get_data_actions()`.
indicator_code	A character value specifying the name of the variable in `df` containing the policy type codes. By default, this is set to `policy_type_code` which is the variable name used by the OxCGRT API.
value	A character value specifying the name of the column in `df` containing the values in ordinal scale assigned to each policy type. By default, this is set to `policyvalue_actual` which is the variable name used by the OxCGRT API.
flag_value	A character value specifying the name of the column in `df` containing the flag values for each policy type. By default, this is set to `flagged` which is the variable name used by the OxCGRT API.
add	Logical. Should sub-indices for each indicator be added to `df`? Default is TRUE.

Value

If add is TRUE (default), returns a tibble composed of the input data.frame x with an added column named score for the calculated sub-indices. If add is FALSE, returns a tibble of 4 columns with the first column for the policy codes named policy_type_codes, the second column for the policy values named policy_value, the third column for the flag values named flag_value and the fourth column named score for the calculated sub-indices.

Author

Ernest Guevarra

Examples

x <- get_data(json = get_json_actions(ccode = "AFG",
                                      from = NULL,
                                      to = "2020-09-01"))
calculate_subindices(df = x$policyActions)
#> # A tibble: 18 x 10
#>    policy_type_code policy_type_dis… policyvalue policyvalue_act… flagged
#>    <chr>            <chr>                  <int>            <int> <lgl>  
#>  1 C1               School closing             2                2 TRUE   
#>  2 C2               Workplace closi…           0                0 NA     
#>  3 C3               Cancel public e…           0                0 NA     
#>  4 C4               Restrictions on…           0                0 NA     
#>  5 C5               Close public tr…           0                0 NA     
#>  6 C6               Stay at home re…           0                0 NA     
#>  7 C7               Restrictions on…           0                0 NA     
#>  8 C8               International t…           1                1 NA     
#>  9 E1               Income support             0                0 NA     
#> 10 E2               Debt/contract r…           0                0 NA     
#> 11 E3               Fiscal measures            0                0 NA     
#> 12 E4               International s…           0                0 NA     
#> 13 H1               Public informat…           2                2 TRUE   
#> 14 H2               Testing policy             3                3 NA     
#> 15 H3               Contact tracing            2                2 NA     
#> 16 H4               Emergency inves…           0                0 NA     
#> 17 H5               Investment in v…           0                0 NA     
#> 18 H6               Facial Coverings           3                3 TRUE   
#> # … with 5 more variables: is_general <lgl>, notes <chr>,
#> #   flag_value_display_field <chr>, policy_value_display_field <chr>,
#> #   score <dbl>